about the constraints changed with variables
Awaiting user inputEexcuse me, in my problem, I have several constraints changed with variables. For example I need to achieve the model has following logic:
if p[0]>=4:
model.addConstr(p[1]<=1.5)
else:
model.addQConstr((p[1]2.5)**2+(p[0]4)**2<=16)
the logic of the problem is like this where p is my variable. How can I code this nonlinear constraint.
Thanks

You can do it via indicator constraints. Perhaps this post will give you an idea of how to go about this.
Additionally, I would suggest that you have a look at this entry concerning the creation of quadratic constraints, and make sure that your Python syntax is correct.
Best regards
Jonasz0 
Thanks for your suggestion, I tried to use a binary variable and use indicator constraints, but the constraint is quadratic. So I added a new variable to define the quadratic equation, it works. I really appreciate your help!
0 
Actually, my objective is also changed with variables, like :
if p[9,0]>=4:
objective=max p[9,1]
else:
objective=max p[9,0]
the expression is simplified.The objective function is segmented and nonlinear. Here the indicator constraints don't work, I also wonder how could I settle this.
0 
I am afraid you can't change the objective this way. But perhaps you can find a way to reformulate your objective in such a way that the change is not required?
Best regards,
Jonasz0
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